class_docstr: Encoder class for transaction data in Python lists
  
  Parameters
  ------------
  None
  
  Attributes
  ------------
  columns_: list
    List of unique names in the `X` input list of lists
  
  Examples
  ------------
  For usage examples, please see
  https://rasbt.github.io/mlxtend/user_guide/preprocessing/TransactionEncoder/
code: def __init__(self):
      return None
  
file_path: mlxtend/mlxtend/preprocessing/transactionencoder.py
imports: import numpy
  from scipy.sparse import csr_matrix
  from sklearn.base import BaseEstimator, TransformerMixin
label_desc: Use image node_id 1 to create a new TransactionEncoder object from inherited base classes: BaseEstimator, TransformerMixin with example: obj = TransactionEncoder()